Results 1 to 10 of about 6,737,352 (322)
Trainable joint bilateral filters for enhanced prediction stability in low-dose CT
Scientific Reports, 2022 Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality.
Fabian Wagner +9 more
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Scene text removal via cascaded text stroke detection and erasing
Computational Visual Media, 2021 Recent learning-based approaches show promising performance improvement for the scene text removal task but usually leave several remnants of text and provide visually unpleasant results.
Xuewei Bian +5 more
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Few Samples of SAR Automatic Target Recognition Based on Enhanced-Shape CNN
Journal of Mathematics, 2021 Synthetic Aperture Radar (SAR), as one of the important and significant methods for obtaining target characteristics in the field of remote sensing, has been applied to many fields including intelligence search, topographic surveying, mapping, and ...
Mengmeng Huang, Fang Liu, Xianfa Meng
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Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images
Scientific Reports, 2021 In this study, we propose a novel point cloud based 3D registration and segmentation framework using reinforcement learning. An artificial agent, implemented as a distinct actor based on value networks, is trained to predict the optimal piece-wise linear
Xia Zhong +8 more
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An fMRI Dataset for Concept Representation with Semantic Feature Annotations
Scientific Data, 2022 The neural representation of concepts is a focus of many cognitive neuroscience studies. Prior works studying concept representation with neural imaging data have been largely limited to concrete concepts. The use of relatively small and constrained sets
Shaonan Wang +6 more
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BMC Medical Genomics, 2020 Background Breast cancer is a collection of multiple tissue pathologies, each with a distinct molecular signature that correlates with patient prognosis and response to therapy.
Adham Beykikhoshk +4 more
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A synchronized multimodal neuroimaging dataset for studying brain language processing
Scientific Data, 2022 Measurement(s) functional brain measurement • Magnetoencephalography Technology Type(s) Functional Magnetic Resonance Imaging • Magnetoencephalography Factor Type(s) naturalistic stimuli listening Sample Characteristic - Organism ...
Shaonan Wang +3 more
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A Convolutional Neural Network for Nonrigid Structure from Motion
International Journal of Digital Multimedia Broadcasting, 2022 In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network.
Yaming Wang +3 more
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Face recognition technologies for evidential evaluation of video traces [PDF]
, 2017 Human recognition from video traces is an important task in forensic investigations and evidence evaluations. Compared with other biometric traits, face is one of the most popularly used modalities for human recognition due to the fact that its ...
Li, Chang-Tsun, Wei, Xingjie
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A principled representation of elongated structures using heatmaps
Scientific Reports, 2023 The detection of elongated structures like lines or edges is an essential component in semantic image analysis. Classical approaches that rely on significant image gradients quickly reach their limits when the structure is context-dependent, amorphous ...
Florian Kordon +5 more
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